ArticleBMJ open2015
An algorithm to identify rheumatoid arthritis in primary care: a Clinical Practice Research Datalink study.
Article in BMJ open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
29 citing papers in PubMed.
- A multivariable prediction model to identify anti-CCP positive people in those with non-specific musculoskeletal symptoms in primary care.Rheumatology (Oxford, England) · 2025Trial
- Outpatient hospital attendances in people with rheumatoid arthritis during the COVID-19 pandemic and beyond: a cohort study in three nations of the UK.Rheumatology (Oxford, England) · 2026Article
- Risk of venous thromboembolism in people with RA: a population-based study in the UK.Rheumatology (Oxford, England) · 2025Article
- Associations Between Daily Symptoms and Pain Flares in Rheumatoid Arthritis: Case-Crossover mHealth Study.JMIR mHealth and uHealth · 2025Article
- Prodromal symptoms of rheumatoid arthritis in a primary care database: variation by ethnicity and socioeconomic status.Rheumatology (Oxford, England) · 2025Article
- Development and validation of a rheumatoid arthritis case definition: a machine learning approach using data from primary care electronic medical records.BMC medical informatics and decision making · 2024Article
- Management of Rheumatoid Arthritis in Primary Care: A Scoping Review.International journal of environmental research and public health · 2024Article
- Comparison of Rheumatoid Arthritis Information Recorded in UK CPRD Aurum and CPRD GOLD Databases (Companion Paper 3).Clinical epidemiology · 2023Article
- Rheumatoid arthritis, psoriatic arthritis, and axial spondyloarthritis epidemiology in England from 2004 to 2020: An observational study using primary care electronic health record data.The Lancet regional health. Europe · 2022Article
- Incidence and management of inflammatory arthritis in England before and during the COVID-19 pandemic: a population-level cohort study using OpenSAFELY.The Lancet. Rheumatology · 2022Article
- Mapping the risk of infections in patients with multiple sclerosis: A multi-database study in the United Kingdom Clinical Practice Research Datalink GOLD and Aurum.Multiple sclerosis (Houndmills, Basingstoke, England) · 2022Article
- Analgesic prescribing in patients with inflammatory arthritis in England: an observational study using electronic healthcare record data.Rheumatology (Oxford, England) · 2022Observational
- Sleep Disturbance and Quality of Life in Rheumatoid Arthritis: Prospective mHealth Study.Journal of medical Internet research · 2022Article
- Low-dose oral glucocorticoid therapy and risk of osteoporotic fractures in patients with rheumatoid arthritis: a cohort study using the Clinical Practice Research Datalink.Rheumatology (Oxford, England) · 2022Article
- Mining Primary Care Electronic Health Records for Automatic Disease Phenotyping: A Transparent Machine Learning Framework.Diagnostics (Basel, Switzerland) · 2021Article
- Patterns and trends in eczema management in UK primary care (2009-2018): A population-based cohort study.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2021Article
- Electronic Medical Record-Based Case Phenotyping for the Charlson Conditions: Scoping Review.JMIR medical informatics · 2021Article
- Cardiovascular risk factors and outcomes in early rheumatoid arthritis: a population-based study.Heart (British Cardiac Society) · 2020Observational
- Risk of venous thromboembolism in immune-mediated inflammatory diseases: a UK matched cohort study.RMD open · 2020Observational
- Article
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Authors and funding
6 authors.
Funding
Abstract
objectiveRheumatoid arthritis (RA) is a multisystem, inflammatory disorder associated with increased levels of morbidity and mortality. While much research into the condition is conducted in the secondary care setting, routinely collected primary care databases provide an important source of research data. This study aimed to update an algorithm to define RA that was previously developed and validated in the General Practice Research Database (GPRD).
methodsThe original algorithm consisted of two criteria. Individuals meeting at least one were considered to have RA. Criterion 1: ≥ 1 RA Read code and a disease modifying antirheumatic drug (DMARD) without an alternative indication. Criterion 2: ≥ 2 RA Read codes, with at least one 'strong' code and no alternative diagnoses. Lists of codes for consultations and prescriptions were obtained from the authors of the original algorithm where these were available, or compiled based on the original description and clinical knowledge. 4161 people with a first Read code for RA between 1 January 2010 and 31 December 2012 were selected from the Clinical Practice Research Datalink (CPRD, successor to the GPRD), and the criteria applied.
resultsCode lists were updated for the introduction of new Read codes and biological DMARDs. 3577/4161 (86%) of people met the updated algorithm for RA, compared to 61% in the original development study. 62.8% of people fulfilled both Criterion 1 and Criterion 2.
conclusionsThose wishing to define RA in the CPRD, should consider using this updated algorithm, rather than a single RA code, if they wish to identify only those who are most likely to have RA.
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